
Senior Manager, Data Analytics – Finance
Posted 6 days ago

Posted 6 days ago
This is a fully remote position, open to applicants in Pennsylvania.
• Oversee and enhance the Finance Data Analytics function.
• Propel cross-functional performance to meet strategic goals.
• Guide annual sub-function plans and ensure comprehensive quarterly results.
• Manage the finance analytics roadmap along with quarterly delivery timelines.
• Lead intricate and prominent finance analytics projects.
• Supervise data readiness, governance compliance, solution specifications, documentation, testing, and continuity practices.
• Direct risk and issue management, change control, benefits tracking, and solution lifecycle oversight.
• Standardize and expand finance analytics, reporting, visualization, testing, and delivery methodologies.
• Present strategic recommendations regarding analytics strategy, financial reporting, profitability capabilities, data quality, automation, and process improvements.
• Relay dependencies, mitigations, and trade-offs to senior leaders and stakeholders.
• Establish direction, delegate tasks, cultivate capabilities, provide technical guidance and coaching, and make decisions regarding performance and talent.
• Enhance team expertise in Azure Databricks, Microsoft Power BI, SQL, financial reporting, profitability analytics, and related finance data areas.
• A bachelor’s degree in data analytics, statistics, mathematics, computer science, information systems, or a related discipline, or equivalent experience is required.
• At least 7 years of experience in data analytics, including delivery at a cross-team or sub-function level, or a related field is necessary.
• A minimum of 3 years of experience in a managerial role is required.
• A master’s degree in a quantitative, data, or technology field, or a related discipline, along with equivalent experience is preferred.
• Certifications such as Certified Analytics Professional (CAP), Project Management Professional (PMP), Lean Six Sigma Green Belt, or equivalent qualifications are preferred.
• Experience or proficiency with Azure Databricks, Microsoft Power BI, SQL, financial reporting, profitability analytics, and related finance data areas is essential.
• Medical, dental, and vision care.
• Backup dependent care.
• Adoption assistance.
• Infertility coverage.
• Family building support.
• Behavioral health solutions.
• Paid parental leave.
• Paid caregiver leave.
• Training programs.
• Professional development resources.
• Mentorship programs.
• Employee resource groups.
• Volunteer opportunities.
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